Senior Data Analyst

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🕒 May 27

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PatientPoint

501 - 1000 employees

⚕️ Healthcare Insurance

📡 Telecommunications

☁️ SaaS

💰 Venture Round on 2020-01

Healthcare Insurance • Telecommunications • SaaS

PatientPoint is a company focused on improving healthcare communications by providing precise health information to patients and providers at critical points of care. Primarily serving healthcare providers and life sciences, PatientPoint aims to enhance patient-physician dialogue and drive better healthcare outcomes. The company leverages a nationwide network of digital devices across 35,000 physician offices, impacting over 750 million patient visits annually with proven increases in preventative health measures such as vaccinations and cancer screenings. Their strategic partnerships provide access to industry experts and tools to tailor engagement strategies, ultimately fostering improved patient experiences and healthcare outcomes.

📋 Description

• Analyze large and complex datasets to identify trends, patterns, and insights that drive business decisions. • Communicate findings effectively to stakeholders primarily using Looker to ensure information is automated and not created manually. • Work closely with business leaders to understand objectives and provide actionable recommendations based on data analysis. • Evolve from creating descriptive reports that monitor metrics and outcomes to utilizing data proactively to uncover opportunities for improvement across the organization. • Design and implement data models, ensuring data integrity, accuracy, and consistency across multiple sources. • Utilize advanced statistical techniques and leverage machine learning models to solve business challenges. • Collaborate with IT, engineering, product, and business stakeholders to optimize data collection and pipeline processes. • Mentor and guide junior analysts, fostering a data-driven culture within the organization. • Stay updated with industry trends, emerging technologies, and best practices in data analytics and business intelligence. • Quickly familiarize yourself with new datasets and efficiently provide valuable insights.

🎯 Requirements

• Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Business Analytics, or a related intense quantitative field • 5+ years of experience in analytics, data management, business intelligence or a related field • Experience working with healthcare claims data, including medical or pharmacy claims • Proficiency in SQL for querying and managing large datasets • Experience with data visualization tools such as Looker, Tableau, or Power BI • Strong understanding of data modeling, statistical analysis and data visualization • Proficiency in programming languages such as Python (preferred) or R for data analysis and automation. • Experience with cloud-based data platforms (e.g. Snowflake, GCP, AWS, Azure)

🏖️ Benefits

• Competitive pay and benefits • Flexible time off to recharge • Hybrid work options • Mental and emotional wellness resources • 401K plan

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